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09/07/2023
A Tutorial on the Non-Asymptotic Theory of System Identification
This tutorial serves as an introduction to recently developed non-asympt...
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01/19/2023
Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control
For a receding-horizon controller with a known system and with an approx...
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11/14/2022
Implications of Regret on Stability of Linear Dynamical Systems
The setting of an agent making decisions under uncertainty and under dyn...
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09/12/2022
Statistical Learning Theory for Control: A Finite Sample Perspective
This tutorial survey provides an overview of recent non-asymptotic advan...
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06/14/2022
How are policy gradient methods affected by the limits of control?
We study stochastic policy gradient methods from the perspective of cont...
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05/27/2022
Learning to Control Linear Systems can be Hard
In this paper, we study the statistical difficulty of learning to contro...
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04/03/2022
Adaptive Stochastic MPC under Unknown Noise Distribution
In this paper, we address the stochastic MPC (SMPC) problem for linear s...
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04/23/2021
Encrypted Distributed Lasso for Sparse Data Predictive Control
The least squares problem with L1-regularized regressors, called Lasso, ...
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04/02/2021
Linear Systems can be Hard to Learn
In this paper, we investigate when system identification is statisticall...
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11/06/2020
Sparse Approximate Solutions to Max-Plus Equations with Application to Multivariate Convex Regression
In this work, we study the problem of finding approximate, with minimum ...
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08/28/2020
Data-driven control on encrypted data
We provide an efficient and private solution to the problem of encryptio...
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02/12/2020
Online Learning of the Kalman Filter with Logarithmic Regret
In this paper, we consider the problem of predicting observations genera...
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12/27/2019
Sample Complexity of Kalman Filtering for Unknown Systems
In this paper, we consider the task of designing a Kalman Filter (KF) fo...
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03/21/2019
